Evidence map›Paper›PMID 41292599›Full record

ReviewGlobal mental health (Cambridge, England)2025

The use of geographic information systems (GIS) in studying mental health service delivery: A scoping review.

Bijayalaxmi Biswal, Rakshanda Paimapari, Arya Suresh, Marimilha Grace Pacheco, Luanna Fernandes, Yashi Gandhi, Vikram Patel, Daisy Radha Singla, Anisah Fernandes, Richard Velleman and 4 more

Abstract readReview
In one paragraph

Review in Global mental health (Cambridge, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Bijayalaxmi BiswalAddictions and Related Research Group, Sangath, Goa, India.
Rakshanda PaimapariAddictions and Related Research Group, Sangath, Goa, India.
Arya SureshAddictions and Related Research Group, Sangath, Goa, India.
Marimilha Grace PachecoAddictions and Related Research Group, Sangath, Goa, India.
Luanna FernandesAddictions and Related Research Group, Sangath, Goa, India.
Yashi GandhiAddictions and Related Research Group, Sangath, Goa, India.
Vikram PatelDepartment of Global Health and Social Medicine, Harvard Medical School, Boston, MA, USA.ORCID https://orcid.org/0000-0003-1066-8584
Daisy Radha SinglaCampbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada.ORCID https://orcid.org/0000-0001-9865-7112
Anisah FernandesAddictions and Related Research Group, Sangath, Goa, India.
Richard VellemanAddictions and Related Research Group, Sangath, Goa, India.
Chunling LuDepartment of Global Health and Social Medicine, Harvard Medical School, Boston, MA, USA.
Chris GrundyDepartment of Infectious Disease Epidemiology and International Health, London School of Hygiene & Tropical Medicine, London, UK.
Urvita BhatiaAddictions and Related Research Group, Sangath, Goa, India.
Abhijit NadkarniAddictions and Related Research Group, Sangath, Goa, India.ORCID https://orcid.org/0000-0001-5832-5236

Funding

IMPlementation of evidence based facility and community interventions to reduce the treatment gap for depRESSion (IMPRESS)R01MH115504 · NIMH · LONDON SCH/HYGIENE & TROPICAL MEDICINE · PI NADKARNI, ABHIJIT, PATEL, VIKRAM H · 2019 to 2025
$1.7M
NIMH NIH HHS R01 MH115504
6 · The paper itself

Abstract

Geographic information systems (GIS) are computer-based spatial mapping tools widely used in public health to examine service availability and access disparities and healthcare utilization. While GIS has supported evidence-based health planning in various domains, its application in mental healthcare service delivery remains underexplored. Our scoping review aimed to address this gap by exploring the scope and type of GIS usage in studying three dimensions of mental health (MH) service delivery (availability, accessibility and utilization), across all geographical locations, settings and populations. We conducted a scoping review following the Joanna Briggs Institute methodology. We included peer-reviewed English-language studies using GIS to examine service delivery (availability, accessibility or utilization) for any MH condition diagnosed through standardized criteria or validated tools. Seven databases were searched (Medical Literature Analysis and Retrieval System Online [MEDLINE], PsycINFO, Excerpta Medica Database [Embase], Global Health, Cumulative Index to Nursing and Allied Health Literature [CINAHL], Cochrane Central Register of Controlled Trials [CENTRAL] and Web of Science) between January and April 2024. This review included 58 studies predominantly from high-income countries. A wide range of GIS methods were employed across studies, including hotspot analysis, network analysis and spatial analysis. Six studies explored availability, generally through measures like distribution of facilities across a population, and resource availability within 5-10-mile network buffers. Forty-six studies explored the spatial accessibility of MH services and substance-use treatment facilities using GIS. Six studies examined service utilization patterns. Equity emerged as a recurring theme across all three dimensions. GIS has the potential to emerge as a powerful tool in MH research, particularly in mapping disparities, informing service delivery and identifying high-risk zones. Expanding GIS use in trial design, implementation science and policy advocacy could help bridge critical gaps in MH service delivery, ensuring more equitable and data-driven decision-making.

Indexed as

digital technologiesefficiencyglobal mental healthglobal mental health deliveryhealth inequalities

Identifiers

PMID41292599
PMCPMC12641310

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.